CRN 50674 Probability and Statistics for Scientists and Engineers - MATH 371 - A1 |
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This course is a calculus-based introduction to the theory and application of probability and statistics. The topics to be covered include concepts of probability, events, and populations, probability theorems, the concept of a random variable, continuous and discrete random variables, joint probability distributions, distributions of functions of a random variable, moments, Chebyshev's inequality, the de Moivre-Laplace theorem, the central limit theorem, sampling and statistical estimation theory, hypothesis testing, simple regression analysis, and an introduction to the design of experiments.
Some seats in this section are reserved for
Environmental Engineering Program.
Levels:  Undergraduate Campus:   Prince George Schedule Type:  Lecture Credits:   3.000 Precluded: MATH-340 MATH-341 Students cannot receive credit for the course being described and the course(s) listed as Precluded
MATH 101 Minimum Grade of C- |
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